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Remove static pretrained maps from the library's internals (#29112)

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* [test_all] Remove static pretrained maps from the library's internals

* Deprecate archive maps instead of removing them

* Revert init changes

* [test_all] Deprecate instead of removing

* [test_all] PVT v2 support

* [test_all] Tests should all pass

* [test_all] Style

* Address review comments

* Update src/transformers/models/deprecated/_archive_maps.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/deprecated/_archive_maps.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* [test_all] trigger tests

* [test_all] LLAVA

* [test_all] Bad rebase

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
This commit is contained in:
Lysandre Debut
2024-03-25 10:33:38 +01:00
committed by GitHub
parent 76a33a1092
commit 39114c0383
842 changed files with 4608 additions and 8613 deletions
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7
tests/models/flaubert/test_modeling_flaubert.py
View File

@@ -36,7 +36,6 @@ if is_torch_available():
FlaubertModel,
FlaubertWithLMHeadModel,
)
from transformers.models.flaubert.modeling_flaubert import FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST
class FlaubertModelTester(object):
@@ -458,9 +457,9 @@ class FlaubertModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
@slow
def test_model_from_pretrained(self):
for model_name in FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = FlaubertModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "flaubert/flaubert_small_cased"
model = FlaubertModel.from_pretrained(model_name)
self.assertIsNotNone(model)
@slow
@require_torch_accelerator

7
tests/models/flaubert/test_modeling_tf_flaubert.py
View File

@@ -30,7 +30,6 @@ if is_tf_available():
import tensorflow as tf
from transformers import (
TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
FlaubertConfig,
TFFlaubertForMultipleChoice,
TFFlaubertForQuestionAnsweringSimple,
@@ -357,9 +356,9 @@ class TFFlaubertModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.Test
@slow
def test_model_from_pretrained(self):
for model_name in TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = TFFlaubertModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "hf-internal-testing/tiny-random-flaubert"
model = TFFlaubertModel.from_pretrained(model_name)
self.assertIsNotNone(model)
@require_tf